Optimization Model and Algorithm Design for Rural Leisure Tourism Passenger Flow Scheduling

Abstract

A constrained optimization model and an iterative optimization algorithm based on PSO are designed for rural leisure tourism passenger flow scheduling. Compared with the traditional tourist dispatching scheme, this model maximizes the overall tourist experience and operation profit of the whole region on the base of protection of tourists' travel experience and the interests of operators in the dispatching spots. Simulations and comparisons are taken to evaluate the feasibility and effectiveness of the model and the optimization. The simulation results show that compared with the shortest-distance-based traffic scheduling scheme and the gravity-model-based scheme, the new model and optimization could meet the requirements of the rural leisure tourists dispatching and bring better tourist experience and tourism profit.

Keywords

• Adaptive algorithm
• optimization model
• particle swarm optimization
• rural leisure tourism
• tourist scheduling